Literature DB >> 35830855

Transcript-specific determinants of pre-mRNA splicing revealed through in vivo kinetic analyses of the 1st and 2nd chemical steps.

Michael A Gildea1, Zachary W Dwyer1, Jeffrey A Pleiss2.   

Abstract

We generate high-precision measurements of the in vivo rates of both chemical steps of pre-mRNA splicing across the genome-wide complement of substrates in yeast by coupling metabolic labeling, multiplexed primer-extension sequencing, and kinetic modeling. We demonstrate that the rates of intron removal vary widely, splice-site sequences are primary determinants of 1st step but have little apparent impact on 2nd step rates, and the 2nd step is generally faster than the 1st step. Ribosomal protein genes (RPGs) are spliced faster than non-RPGs at each step, and RPGs share evolutionarily conserved properties that may contribute to their faster splicing. A genetic variant defective in the 1st step of the pathway reveals a genome-wide defect in the 1st step but an unexpected, transcript-specific change in the 2nd step. Our work demonstrates that extended co-transcriptional association is an important determinant of splicing rate, a conclusion at odds with recent claims of ultra-fast splicing.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  4-thiouracil; RNA processing; RNA-seq; co-transcriptional splicing; in vivo kinetics; multiplexed primer-extension sequencing; pre-mRNA splicing

Mesh:

Substances:

Year:  2022        PMID: 35830855      PMCID: PMC9391291          DOI: 10.1016/j.molcel.2022.06.020

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   19.328


  60 in total

1.  Analyzing mechanisms of alternative pre-mRNA splicing using in vitro splicing assays.

Authors:  Martin J Hicks; Bianca J Lam; Klemens J Hertel
Journal:  Methods       Date:  2005-12       Impact factor: 3.608

Review 2.  Multiplexed primer extension sequencing: A targeted RNA-seq method that enables high-precision quantitation of mRNA splicing isoforms and rare pre-mRNA splicing intermediates.

Authors:  Michael A Gildea; Zachary W Dwyer; Jeffrey A Pleiss
Journal:  Methods       Date:  2019-05-21       Impact factor: 3.608

3.  A genome-wide analysis indicates that yeast pre-mRNA splicing is predominantly posttranscriptional.

Authors:  Daniel F Tardiff; Scott A Lacadie; Michael Rosbash
Journal:  Mol Cell       Date:  2006-12-28       Impact factor: 17.970

4.  Genome-wide bioinformatic and molecular analysis of introns in Saccharomyces cerevisiae.

Authors:  M Spingola; L Grate; D Haussler; M Ares
Journal:  RNA       Date:  1999-02       Impact factor: 4.942

Review 5.  Gaining insight into transcriptome-wide RNA population dynamics through the chemistry of 4-thiouridine.

Authors:  Erin E Duffy; Jeremy A Schofield; Matthew D Simon
Journal:  Wiley Interdiscip Rev RNA       Date:  2018-10-28       Impact factor: 9.957

6.  Co-transcriptional splicing regulates 3' end cleavage during mammalian erythropoiesis.

Authors:  Kirsten A Reimer; Claudia A Mimoso; Karen Adelman; Karla M Neugebauer
Journal:  Mol Cell       Date:  2021-01-12       Impact factor: 17.970

7.  Ultrashort and progressive 4sU-tagging reveals key characteristics of RNA processing at nucleotide resolution.

Authors:  Lukas Windhager; Thomas Bonfert; Kaspar Burger; Zsolt Ruzsics; Stefan Krebs; Stefanie Kaufmann; Georg Malterer; Anne L'Hernault; Markus Schilhabel; Stefan Schreiber; Philip Rosenstiel; Ralf Zimmer; Dirk Eick; Caroline C Friedel; Lars Dölken
Journal:  Genome Res       Date:  2012-04-26       Impact factor: 9.043

8.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

9.  fastp: an ultra-fast all-in-one FASTQ preprocessor.

Authors:  Shifu Chen; Yanqing Zhou; Yaru Chen; Jia Gu
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

10.  High-resolution sequencing and modeling identifies distinct dynamic RNA regulatory strategies.

Authors:  Michal Rabani; Raktima Raychowdhury; Marko Jovanovic; Michael Rooney; Deborah J Stumpo; Andrea Pauli; Nir Hacohen; Alexander F Schier; Perry J Blackshear; Nir Friedman; Ido Amit; Aviv Regev
Journal:  Cell       Date:  2014-12-11       Impact factor: 41.582

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